提出了一种新的红外弱小目标检测方法,在对红外图像进行背景预测的基础上,对残差图像采用小波变换方法增加对弱小目标的检测率,有效地提高了检测算法对低信噪比红外图像中弱小目标的检测性能。通过实测的星图数据与传统方法进行了对比和分析,证明了该方法适用于非平稳背景中低信噪比目标的检测。

A new method for the infrared small and dim targets detection is presented. On the basis of background prediction of infrared images, the wavelet transformation is applied to the residual image in order to increase the detection rate of targets and effectively improve the detection capacity of small and dim targets detection in infrared image with low signal-to-noise ratio. This method is proved to be suitable for the detection of low SNR targets under non-stationary background by comparing with the traditional method through the observed star image data.